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» Learning minimal abstractions
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CONTEXT
2001
Springer
15 years 5 months ago
Learning Appropriate Contexts
Genetic Programming is extended so that the solutions being evolved do so in the context of local domains within the total problem domain. This produces a situation where different...
Bruce Edmonds
JMLR
2006
140views more  JMLR 2006»
15 years 22 days ago
Active Learning in Approximately Linear Regression Based on Conditional Expectation of Generalization Error
The goal of active learning is to determine the locations of training input points so that the generalization error is minimized. We discuss the problem of active learning in line...
Masashi Sugiyama
96
Voted
LSO
2004
Springer
15 years 6 months ago
Impreciseness and Its Value from the Perspective of Software Organizations and Learning
When developing large software products many verbal and written interactions take place. In such interactions the use of abstract and uncertain expressions is considered advantageo...
Grigori Melnik, Michael M. Richter
108
Voted
ICWSM
2009
14 years 10 months ago
High-level Features for Learning Subjective Language across Domains
In this paper, we propose to study the characteristics for analyzing subjective content in documents. For that purpose, we present and evaluate a novel method based on abstraction...
Gaël Dias, Dinko Dimchev Lambov, Veska Nonche...
102
Voted
CVPR
2008
IEEE
16 years 2 months ago
Two-Dimensional Active Learning for image classification
In this paper, we propose a two-dimensional active learning scheme and show its application in image classification. Traditional active learning methods select samples only along ...
Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Jinhui Tang,...